Research Portal

Professor Ludmila Kuncheva

Professor in Computer Science

Affiliations

Links

ORCID: 0000-0002-0415-6964

Contact info

School of Computer Science, Bangor University Dean Street, Bangor, Gwynedd LL57 1UT 

e-mail: l.i.kuncheva@bangor.ac.uk

26 - 50 out of 104Page size: 25
  1. 2015
  2. Published

    Diversity techniques improve the performance of the best imbalance learning ensembles

    Diez-Pastor, J. F., Rodriguez, J. J., Garcia-Osorio, C. I. & Kuncheva, L. I., 11 Jul 2015, In: Information Sciences. 325, p. 98-117

    Research output: Contribution to journal › Article › peer-review

  3. Published

    Random Balance: Ensembles of variable priors classifiers for imbalanced data

    Diez-Pastor, J. F., Rodriguez, J. J., Garcia-Osorio, C. & Kuncheva, L. I., 7 May 2015, In: Knowledge-Based Systems. 85, p. 96-111

    Research output: Contribution to journal › Article › peer-review

  4. 2014
  5. Published

    On Optimum Thresholding of Multivariate Change Detectors

    Faithfull, W. J., Kuncheva, L. I., Franti, P. (ed.), Brown, G. (ed.), Loog, M. (ed.), Escolano, F. (ed.) & Pelillo, M. (ed.), 20 Aug 2014, Structural, Syntactic, and Statistical Pattern Recognition, Lecture Notes in Computer Science. 2014 ed. Springer Berlin Heidelberg, p. 364-373

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  6. Published

    Who Is Missing? A New Pattern Recognition Puzzle

    Kuncheva, L. I., Kuncheav, L. I., Jackson, A. S., Franti, P. (ed.), Brown, G. (ed.), Loog, M. (ed.), Escolano, F. (ed.) & Pelillo, M. (ed.), 20 Aug 2014, Structural, Syntactic, and Statistical Pattern Recognition, Lecture Notes in Computer Science. 2014 ed. Springer Berlin Heidelberg, p. 243-252

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  7. Published

    Technological Advancements in Affective Gaming: A Historical Survey

    Christy, T. P., Christy, T. & Kuncheva, L. I., 28 May 2014, In: GSTF Journal on Computing. 3, 4, p. 38

    Research output: Contribution to journal › Article › peer-review

  8. Published

    A spatial discrepancy measure between voxel sets in brain imaging

    Kuncheva, L. I., Martinez-Rego, D., Yuen, K. S., Linden, D. E. & Johnston, S. J., 15 May 2014, In: Signal, Image and Video Processing. 8, 5, p. 913-922

    Research output: Contribution to journal › Article › peer-review

  9. Published

    PCA Feature Extraction for Change Detection in Multidimensional Unlabeled Data

    Kuncheva, L. I. & Faithfull, W. J., 13 Mar 2014, In: IEEE Transactions on Neural Networks and Learning Systems. 25, 1, p. 69-80

    Research output: Contribution to journal › Article › peer-review

  10. Published

    A weighted voting framework for classifiers ensembles

    Kuncheva, L. I. & Rodríguez, J. J., 1 Feb 2014, In: Knowledge and Information Systems. 38, 2, p. 259-275

    Research output: Contribution to journal › Article › peer-review

  11. 2013
  12. Published

    Occlusion Handling via Random Subspace Classifiers for Human Detection

    Kuncheva, L. I., Marin, J., Vazquez, D., Lopez, A. M., Amores, J. & Kuncheva L.I., N. V., 6 May 2013, In: IEEE Transactions on Cybernetics. 44, 3, p. 342-354

    Research output: Contribution to journal › Article › peer-review

  13. Published

    Change detection in streaming multivariate data using likelihood detectors

    Kuncheva, L. I., 1 May 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 5, p. 1175-1180

    Research output: Contribution to journal › Article › peer-review

  14. Published

    A Bound on Kappa-Error Diagrams for Analysis of Classifier Ensembles

    Kuncheva, L. I., 1 Mar 2013, In: IEEE Transactions on Knowledge and Data Engineering. 25, 3, p. 494-501

    Research output: Contribution to journal › Article › peer-review

  15. Published

    A.M.B.E.R. Shark-Fin: An Unobtrusive Affective Mouse

    Christy, T. P., Christy, T. & Kuncheva, L. I., 26 Feb 2013, p. 488-495.

    Research output: Contribution to conference › Paper

  16. 2012
  17. Published

    Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis

    Kuncheva, L. I. & Rodriguez, J. J., 25 Dec 2012, In: Progress in Artificial Intelligence. 2, 1, p. 65-72

    Research output: Contribution to journal › Article › peer-review

  18. Published

    Naive random subspace ensemble with linear classifiers for real-time classification of fMRI data

    Plumpton, C. O., Kuncheva, L. I., Oosterhof, N. N. & Johnston, S. J., Jun 2012, In: Pattern Recognition. 45, 6, p. 2101-2108

    Research output: Contribution to journal › Article › peer-review

  19. 2010
  20. Published

    Full-class set classification using the Hungarian algorithm.

    Kuncheva, L. I., 1 Dec 2010, In: International Journal of Machine Learning and Cybernetics. 1, 1-4, p. 53-61

    Research output: Contribution to journal › Article › peer-review

  21. Published

    Learn ++.MF: A random subspace approach for the missing feature problem.

    Polikar, R., DePasquale, J., Mohammed, H. S., Brown, G. & Kuncheva, L. I., 1 Nov 2010, In: Pattern Recognition. 43, 11, p. 3817-3832

    Research output: Contribution to journal › Article › peer-review

  22. Published

    Classifier ensembles for fMRI data analysis: an experiment.

    Kuncheva, L. I. & Rodriguez, J. J., 1 May 2010, In: Magnetic Resonance Imaging. 28, 4, p. 583-593

    Research output: Contribution to journal › Article › peer-review

  23. Published

    Random Subspace Ensembles for fMRI Classification.

    Kuncheva, L. I., Rodriguez, J. J., Plumpton, C. O., Linden, D. E. & Johnston, S. J., 1 Feb 2010, In: IEEE Transactions on Medical Imaging. 29, 2, p. 531-542

    Research output: Contribution to journal › Article › peer-review

  24. 2009
  25. Published

    On the window size for classification in changing environments.

    Kuncheva, L. I. & Žliobaitė, I., 25 Nov 2009, In: Intelligent Data Analysis. 13, 6, p. 861-872

    Research output: Contribution to journal › Article › peer-review

  26. Published

    Stability of Kerogen Classification with Regard to Image Segmentation

    Charles, J. J., Kuncheva, L. I., Wells, B. & Lim, I. S., 1 May 2009, In: Mathematical Geosciences. 41, 4, p. 475-486

    Research output: Contribution to journal › Article › peer-review

  27. 2008
  28. Published

    Adaptive Learning Rate for Online Linear Discriminant Classifiers

    Kuncheva, L. I. & Plumpton, C. O., 4 Dec 2008, Proceedings of the IAPR Workshop on Statistical, Structural and Syntactic Pattern Recognition (S+SSPR 2008). Orlando, Florida, USA, p. 510-519

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  29. Published

    A case-study on naive labelling for the nearest mean and the linear discriminant classifiers

    Kuncheva, L. I., Whitaker, C. J. & Narasimhamurthy, A., 1 Oct 2008, In: Pattern Recognition. 41, 10, p. 3010-3020

    Research output: Contribution to journal › Article › peer-review

  30. Published

    Automated kerogen classification in microscope images of dispersed kerogen preparation

    Kuncheva, L. I., Charles, J. J., Miles, N., Collins, A., Wells, B. & Lim, I. S., 1 Aug 2008, In: Mathematical Geosciences. 40, 6, p. 639-652

    Research output: Contribution to journal › Article › peer-review

  31. Published

    Object segmentation within microscope images of palynofacies.

    Charles, J. J., Kuncheva, L. I., Wells, B. & Lim, I. S., 1 Jun 2008, In: Computers and Geosciences. 34, 6, p. 688-698

    Research output: Contribution to journal › Article › peer-review

  32. Published

    Error-dependency relationships for the Naive Bayes classifier with binary features

    Kuncheva, L. & Hoare, Z. S., 1 Apr 2008, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 30, 4, p. 735-740

    Research output: Contribution to journal › Article › peer-review

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